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Fido is a library of Java classes that accept natural language (ie English) commands. The system
uses a database of hierarchial objects to determine what actions to take. Currently, Fido accepts
English command to control EJBs or Web Services
JFacedec is aimed to build a flexible face detection system based on Java. The plug-in framwork makes it easy for you to share your own Training & Detection Algorithms, compare different methods and make progress together in this field.
Atera all-in-one platform IT management software with AI agents
Ideal for internal IT departments or managed service providers (MSPs)
Atera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
This project is an example of a software agent for playing simulated soccer. The agent uses a FSM library and an Expert System library to make decisions.
OpenKS is a knowledge system framework written in java. It is an open and highly plugable framework aimed at teaching students the fundamentals of knowledge systems.
It's a modern take on desktop management that can be scaled as per organizational needs.
Desktop Central is a unified endpoint management (UEM) solution that helps in managing servers, laptops, desktops, smartphones, and tablets from a central location.
A free chessprogram based on Fusc# and is written in java. The main idea to rewrite the project in java is to work on new learning and decision strategies.
Docofire (Document Content-based Filtering for Reccomendation) is a Content-Based filtering tool for recommending documents to different users. It recommends docs to users based on the profile and docs of other users.
EveAI processes the data assuming that it has already been read by a sensor.
Theoretically this should give it reflex behavior. Now the end product should be a self conscious machine future plans are to include the field of robotics.
A .Net Library that lets you make full use of multi-core and multiprocessor computers. It is very efficient, and easily integrated into existing applications. It is modeled after the Parallel FX usage model, and is faster than the PFX too.
This project is an exercise and proof of concept. It aims to minimize the tree width of the tree decompositioned graph G with the methods of genetic algorithms.